Cortical involvement determines impairment 30 years after a clinically isolated syndrome.


Journal

Brain : a journal of neurology
ISSN: 1460-2156
Titre abrégé: Brain
Pays: England
ID NLM: 0372537

Informations de publication

Date de publication:
22 06 2021
Historique:
received: 10 08 2020
revised: 24 11 2020
accepted: 03 12 2020
pubmed: 22 4 2021
medline: 24 9 2021
entrez: 21 4 2021
Statut: ppublish

Résumé

Many studies report an overlap of MRI and clinical findings between patients with relapsing-remitting multiple sclerosis (RRMS) and secondary progressive multiple sclerosis (SPMS), which in part is reflective of inclusion of subjects with variable disease duration and short periods of follow-up. To overcome these limitations, we examined the differences between RRMS and SPMS and the relationship between MRI measures and clinical outcomes 30 years after first presentation with clinically isolated syndrome suggestive of multiple sclerosis. Sixty-three patients were studied 30 years after their initial presentation with a clinically isolated syndrome; only 14% received a disease modifying treatment at any time point. Twenty-seven patients developed RRMS, 15 SPMS and 21 experienced no further neurological events; these groups were comparable in terms of age and disease duration. Clinical assessment included the Expanded Disability Status Scale, 9-Hole Peg Test and Timed 25-Foot Walk and the Brief International Cognitive Assessment For Multiple Sclerosis. All subjects underwent a comprehensive MRI protocol at 3 T measuring brain white and grey matter (lesions, volumes and magnetization transfer ratio) and cervical cord involvement. Linear regression models were used to estimate age- and gender-adjusted group differences between clinical phenotypes after 30 years, and stepwise selection to determine associations between a large sets of MRI predictor variables and physical and cognitive outcome measures. At the 30-year follow-up, the greatest differences in MRI measures between SPMS and RRMS were the number of cortical lesions, which were higher in SPMS (the presence of cortical lesions had 100% sensitivity and 88% specificity), and grey matter volume, which was lower in SPMS. Across all subjects, cortical lesions, grey matter volume and cervical cord volume explained 60% of the variance of the Expanded Disability Status Scale; cortical lesions alone explained 43%. Grey matter volume, cortical lesions and gender explained 43% of the variance of Timed 25-Foot Walk. Reduced cortical magnetization transfer ratios emerged as the only significant explanatory variable for the symbol digit modality test and explained 52% of its variance. Cortical involvement, both in terms of lesions and atrophy, appears to be the main correlate of progressive disease and disability in a cohort of individuals with very long follow-up and homogeneous disease duration, indicating that this should be the target of therapeutic interventions.

Identifiants

pubmed: 33880511
pii: 6242721
doi: 10.1093/brain/awab033
pmc: PMC8219364
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1384-1395

Subventions

Organisme : Medical Research Council
ID : MR/S026088/1
Pays : United Kingdom

Informations de copyright

© The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain.

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Auteurs

Lukas Haider (L)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.
Department of Biomedical Imaging and Image Guided Therapy, Medical University Vienna, Austria.

Ferran Prados (F)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.
Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Universitat Oberta de Catalunya, Barcelona, Spain.

Karen Chung (K)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.

Olivia Goodkin (O)

Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.

Baris Kanber (B)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.
Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Department of Clinical and Experimental Epilepsy, University College London, London, UK.

Carole Sudre (C)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.
School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Dementia Research Centre, Institute of Neurology, University College London, London, UK.

Marios Yiannakas (M)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.

Rebecca S Samson (RS)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.

Stephanie Mangesius (S)

Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria.
Neuroimaging Core Facility, Medical University of Innsbruck, Innsbruck, Austria.

Alan J Thompson (AJ)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.

Claudia A M Gandini Wheeler-Kingshott (CAM)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.
Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.
Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy.

Olga Ciccarelli (O)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.
National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.

Declan T Chard (DT)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.
National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.

Frederik Barkhof (F)

NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.
Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.
Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, The Netherlands.

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